A parser can read every word of a contract and still miss whether it was signed. Traditional OCR treats a stamp or a signature as noise, or as an unlabeled image blob. So a system can transcribe a permit or a certificate of origin end to end and never register whether it was signed, stamped, or sealed. For teams processing regulated paperwork, that is the one answer that matters. Agentic Document Extraction (ADE) closes the gap with attestation detection. At the parse stage, it finds these marks, assigns each a type, transcribes the text inside, and records where it sits on the page. Every mark comes back as one of four labels: SIGNED, E-SIGNED, STAMPED, or SEALED. Labels stack when a mark carries more than one, so an official filing stamped and signed in the same spot returns as [STAMPED][SIGNED]. The result is a queryable field, with grounding coordinates down to the line. "Is this document signed?" becomes a value your code can read, which lets you gate straight-through processing and route missing marks to a human automatically. One note for builders: attestation detection runs on DPT-3 Pro. Full breakdown, plus two real document examples, in the comments.